Software Engineer (PREP Research Associate) in Deepfake Detection and AI Evaluation George Washington University in United States

The George Washington University, in collaboration with NIST, is seeking a Software Engineer (PREP Research Associate) to join the Guardians of Forensic Evidence Initiative in Gaithersburg, MD. This project focuses on enhancing the scientific reliability of deepfake detection systems for forensic and judicial applications. As a member of the team, you will contribute to the Deepfake Challenge Kit, working on the development of automated deepfake generation pipelines, secure web platforms for global evaluation leaderboards, and robust evaluation infrastructure.

Key responsibilities include building synthetic data generation pipelines for deepfake image and audio datasets, deploying AI detection algorithms on Linux servers and GPU clusters using Docker, and implementing scoring packages such as ROC curves and AUC to assess system robustness. The role also involves full-stack web development, including the design and maintenance of secure evaluation platforms with user authentication and dataset release portals.

Ideal candidates are senior undergraduate or graduate students in Computer Science or Software Engineering, with strong proficiency in Python, Linux, and Shell Scripting. Experience or interest in React, PostgreSQL, and backend services (FastAPI/Flask) is advantageous. A background or keen interest in media processing, Generative AI, and AI evaluation is highly valued. The position is based at the NIST Campus in Gaithersburg, MD, and offers the opportunity to make a significant impact on the reliability of AI-based evidence in the courtroom.

To apply, follow the provided application link and ensure your qualifications align with the requirements. This is an excellent opportunity for those interested in deepfake detection, AI evaluation, and forensic science to gain hands-on experience in a collaborative research environment at a leading institution.